Combined Data Augmentation for HEp-2 Cells Image Classification

Author:

Percannella GennaroORCID,Petruzzello UmbertoORCID,Tortorella FrancescoORCID,Vento MarioORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Biffi, C., et al.: 3D High-resolution cardiac segmentation reconstruction from 2D views using conditional variational autoencoders. In: 2019 IEEE 16th International Symposium on Biomedical Imaging, pp. 1643–1646 (2019)

2. Chou, J.: Generated loss and augmented training of MNIST VAE. ArXiv (2019)

3. Cascio, D., Taormina, V., Raso, G.: Deep convolutional neural network for HEp-2 fluorescence intensity classification. Appl. Sci. 9(3), 408 (2019)

4. Goodfellow, I.J., et al.: Generative adversarial networks (2014)

5. Hobson, P., et al.: Competition on cells classification by fluorescent image analysis. Proceedings of 20th IEEE International Conference on Image Processing (2013)

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